Snakes Algorithm: Finding Optimal Image-Aligned Contours through Variational Methods

The snakes algorithm is a variational technique that optimizes contour alignment with images. The core implementation, snake.m, processes point sequences along a contour to maximize alignment with array or image gradients. Key inputs include the target image, initial contour points, and search space constraints, with outputs returning refined points for improved edge correspondence. The algorithm employs energy minimization through iterative gradient descent optimization.